Stochastic Modeling of Manufacturing Systems: Advances in Design, Performance Evaluation, and Control Issues / Edition 1

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Overview

Manufacturing systems rarely perform exactly as expected and predicted. Unexpected events, such as order changes, equipment failures and product defects, affect the performance of the system and complicate decision-making. This volume is devoted to the development of analytical methods aiming at responding to variability in a way that limits its corrupting effects on system performance. The book includes fifteen novel chapters that mostly focus on the development and analysis of performance evaluation models of manufacturing systems using decomposition-based methods, Markovian and queuing analysis, simulation, and inventory control approaches. They are organized into four distinct sections to reflect their shared viewpoints: factory design, unreliable production lines, queuing network models, production planning and assembly.

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Product Details

  • ISBN-13: 9783540265795
  • Publisher: Springer Berlin Heidelberg
  • Publication date: 9/6/2005
  • Edition description: 2006
  • Edition number: 1
  • Pages: 363
  • Product dimensions: 6.40 (w) x 9.30 (h) x 1.00 (d)

Table of Contents

Dilemmas in factory design : paradox and paradigm 3
Lean buffering in serial production lines with non-exponential machines 29
Analysis of flow lines with Cox-2-distributed processing times and limited buffer capacity 55
Performance evaluation of production lines with finite buffer capacity producing two different products 77
Automated flow lines with shared buffer 99
Integrated quality and quantity modeling of a production line 121
Stochastic cyclic flow lines with blocking : Markovian models 149
Performance analysis of multi-server tandem queues with finite buffers and blocking 169
An analytical method for the performance evaluation of echelon kanban control systems 193
Closed loop two-echelon repairable item systems 223
A heuristic to control integrated multi-product multi-machine production-inventory systems with job shop routings and stochastic arrival, set-up and processing times 253
Performance analysis of parallel identical machines with a generalized shortest queue arrival mechanism 289
A review and comparison of hybrid and pull-type production control strategies 307
Planning order releases for an assembly system with random operation times 333
A multiperiod stochastic production planning and sourcing problem with service level constraints 345
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